2020
DOI: 10.1109/tmech.2020.3001021
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Parameter Identification and Nonparametric Calibration of the Tri-Pyramid Robot

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Cited by 24 publications
(11 citation statements)
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“…Liao et al [65] predicted the end-effector positions of a 3-DOF overconstrained parallel robot (named Tri-Pyramid Robot). The final positions were calculated by combining a parametric and a non-parametric calibration method.…”
Section: B Machine Learnng-based Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Liao et al [65] predicted the end-effector positions of a 3-DOF overconstrained parallel robot (named Tri-Pyramid Robot). The final positions were calculated by combining a parametric and a non-parametric calibration method.…”
Section: B Machine Learnng-based Methodsmentioning
confidence: 99%
“…Online optimization of process parameters using AI algorithms are crucial to improve the quality and efficiency of industrial processes in real time. For example, Liao et al [13] developed a systematic approach to identify the structural parameters in the geometrybased kinematic model and to predict the non-geometric errors like backlash and link deformations for calibrating the Tripyramid robot. It turns out that robot accuracy can be improved by 60% with the proposed method, which is accurate enough in forming applications.…”
Section: A Key Technologies Of Iaimentioning
confidence: 99%
“…• The Pantopteron-4 (3T1R) using three pantograph linkages and Schönflies motions enabling faster displacement than Isoglide4 or the Quadrupteron [24]. • The Tri-pyramid robot with the triangular pyramidal constraint [25], [26]. • The decoupled pantograph manipulator with three translational degrees of freedom which belongs to a recently introduced family of industrial robots named interconnected manipulators [27], [28].…”
Section: Introductionmentioning
confidence: 99%
“…The highlighted measuring tools are coordinate measuring machines, laser trackers, laser interferometers and double ball bars. A combined parametric and non-parametric calibration approach for a PKM is presented in Liao et al (2020), using a laser tracker. After the calibration of the kinematic model, non-geometric errorsoriginating from joint and link deformation as well as backlashare compensated using an artificial neural network.…”
Section: Introductionmentioning
confidence: 99%